class_docstr: Implementation of a lemmatizer based on a
  dictionary of lemmas and forms, backing off to regex rules.
  Since a given form may map to multiple lemmas,
  a corpus-based frequency disambiguator is employed.
  
  Subclasses must provide methods to load dictionary and corpora,
  and to specify regular expressions.
class_docstr_tok: ["Implementation","of","a","lemmatizer","based","on","a","dictionary","of","lemmas","and","forms",",","backing","off","to","regex","rules",".","Since","a","given","form","may","map","to","multiple","lemmas",",","a","corpus-based","frequency","disambiguator","is","employed",".","Subclasses","must","provide","methods","to","load","dictionary","and","corpora",",","and","to","specify","regular","expressions","."]
code: def _specify_regex_rules(self):
      pass
  
file_path: cltk/src/cltk/lemmatize/naive_lemmatizer.py
imports: import math
  import os
  import re
  from abc import ABC, abstractmethod
  from typing import List, Tuple, Union
  from numpy import argmax
  from cltk.utils import CLTK_DATA_DIR
label_desc: Use image node_id 4 for calling the DictionaryRegexLemmatizer obj's underlying member method code with example usage: obj._specify_regex_rules() without return types